机器人对快速移动的运动目标检测和跟踪问题的探索优化  

Exploration and optimization of the robot for moving target detection and tracking

作　　者：王沛[1] 

机构地区：[1]宝鸡职业技术学院艺术体育系,宝鸡721013

出　　处：《自动化与仪器仪表》2015年第12期64-65,68,共3页Automation & Instrumentation

摘　　要：为了扩大机器人的目标搜索范围,提高运动目标的跟踪效率,本文提出了运动背景下块匹配法的目标检测方法,完成图像之间的配准后,就可以根据静态背景下的帧间差分法进行运动目标的检测。运动目标跟踪采用融入Kalman滤波的CamShift算法,并对算法进行调整,实现大目标的跟踪。In order to expand the target search range of the robot and improve the efficiency of moving target tracking, this paper proposed target detection method of block matching in motion backdrop, completing the registration between images, you can based on frame difference under static background method to detect moving targets. It uses Kalman filter CamShift integration algorithm to track Moving object and the algorithm was adjusted to track big target.

关 键 词：KALMAN滤波 CAMSHIFT算法 块匹配法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]